Invitation Homes (INVH) Long-Term Debt Repayments (2016 - 2026)
Invitation Homes (INVH) recorded Long-Term Debt Repayments of $1.68 million in Q2 2026, down 6.1% from $1.78 million a year earlier but up 25.9% from the prior quarter.
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Analysis
Invitation Homes (INVH) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
On a TTM basis, Invitation Homes' Long-Term Debt Repayments came in at $4.91 million as of Jun 30, 2026, down 99.8% year-over-year; for FY2025, it was $7.15 million, down 99.8% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -65.7% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $3.15 billion in FY2024, $23.67 million in FY2023 (-98.3%), $1.41 billion in FY2022 (-20.0%) and $1.77 billion in FY2021 (+17.8%).
- Quarterly Long-Term Debt Repayments has ranged from $897,000 in Q3 2025 to $2.51 billion in Q3 2024 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined for six consecutive quarters, with an average decline of 64.1% over the last six quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 170.5% in Q2 2022, against a decline of 100.0% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.33 million (Q1 2026), $1.01 million (Q4 2025) and $897,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 170.14 Bn | 156.17 Bn | 1.47 Bn | 1.19 Bn |
| 2 | Prologis | 120.69 Bn | 114.64 Bn | - | 382.44 Mn |
| 3 | Simon Property | 70.61 Bn | 66.46 Bn | - | 1.80 Bn |
| 4 | Public Storage | 59.72 Bn | 58.45 Bn | - | 183.83 Mn |
| 5 | Realty Income | 52.99 Bn | 51.21 Bn | - | 23.73 Bn |
| 6 | Ventas | 43.55 Bn | 42.22 Bn | - | 133.33 Mn |
| 7 | Extra Space Storage | 31.90 Bn | 31.90 Bn | - | - |
| 8 | Vici Properties | 26.83 Bn | 25.18 Bn | 1.06 Bn | 1.75 Bn |
| 9 | Vivmark Residential | 23.14 Bn | 22.92 Bn | - | 738,000.00 |
| 10 | Invitation Homes | 15.60 Bn | 15.20 Bn | - | 489.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 489.71 Mn |
| Jun 30, 2026 | 1.68 Mn |
| Mar 31, 2026 | 1.33 Mn |
| Dec 31, 2025 | 1.01 Mn |
| Sep 30, 2025 | 897,000.00 |
| Jun 30, 2025 | 1.78 Mn |
| Mar 31, 2025 | 3.46 Mn |
| Dec 31, 2024 | 631.66 Mn |
| Sep 30, 2024 | 2.51 Bn |
| Jun 30, 2024 | 5.31 Mn |
| Mar 31, 2024 | 7.05 Mn |
| Dec 31, 2023 | 6.14 Mn |
| Sep 30, 2023 | 5.87 Mn |
| Jun 30, 2023 | 6.39 Mn |
| Mar 31, 2023 | 5.27 Mn |
| Dec 31, 2022 | 563.15 Mn |
| Sep 30, 2022 | 5.13 Mn |
| Jun 30, 2022 | 841.11 Mn |
| Mar 31, 2022 | 5.51 Mn |
| Dec 31, 2021 | 803.22 Mn |
API Access
Invitation Homes Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "INVH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();